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Data Scientist III
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LexisNexis . Get AI-powered advice on this job and more exclusive features. Responsibilities
Design, develop, and deploy AI solutions in collaboration with data scientists and engineers. Lead the development of advanced AI and machine learning models to solve complex business problems. Analyze large datasets to identify patterns and trends informing AI development. Collaborate with cross-functional teams to ensure AI solutions align with business goals and customer needs. Manage automation and lifecycle of sophisticated data systems. Mentor junior data scientists and provide guidance on AI and machine learning best practices. Design APIs for disseminating data science outputs to various business units. Oversee scaling of production systems to meet growing demands. Requirements
Advanced or Masters degree in Computer Science, Mathematics, Statistics, or related field. Experience with large language models and transformer architectures such as BERT, RoBERTa, T5. Proficiency with big data technologies like Hadoop, Spark, or AWS. Experience with LLMs including ChatGPT, GPT 3.5, Claude, Mistral. Strong problem-solving skills, leadership, and collaboration abilities. Proficiency in machine learning algorithms, including deep learning, gradient boosting, and random forests. Advanced programming skills in Python, R, or similar languages. Additional Information
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: IT Services and IT Consulting This job posting appears active as of now. #J-18808-Ljbffr
Data Scientist III
role at
LexisNexis . Get AI-powered advice on this job and more exclusive features. Responsibilities
Design, develop, and deploy AI solutions in collaboration with data scientists and engineers. Lead the development of advanced AI and machine learning models to solve complex business problems. Analyze large datasets to identify patterns and trends informing AI development. Collaborate with cross-functional teams to ensure AI solutions align with business goals and customer needs. Manage automation and lifecycle of sophisticated data systems. Mentor junior data scientists and provide guidance on AI and machine learning best practices. Design APIs for disseminating data science outputs to various business units. Oversee scaling of production systems to meet growing demands. Requirements
Advanced or Masters degree in Computer Science, Mathematics, Statistics, or related field. Experience with large language models and transformer architectures such as BERT, RoBERTa, T5. Proficiency with big data technologies like Hadoop, Spark, or AWS. Experience with LLMs including ChatGPT, GPT 3.5, Claude, Mistral. Strong problem-solving skills, leadership, and collaboration abilities. Proficiency in machine learning algorithms, including deep learning, gradient boosting, and random forests. Advanced programming skills in Python, R, or similar languages. Additional Information
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: IT Services and IT Consulting This job posting appears active as of now. #J-18808-Ljbffr